{"id":"https://openalex.org/W3215165988","doi":"https://doi.org/10.1145/3460268.3460272","title":"DQ-DPS Data Partition Strategy Based on Distributed Machine Learning","display_name":"DQ-DPS Data Partition Strategy Based on Distributed Machine Learning","publication_year":2021,"publication_date":"2021-01-15","ids":{"openalex":"https://openalex.org/W3215165988","doi":"https://doi.org/10.1145/3460268.3460272","mag":"3215165988"},"language":"en","primary_location":{"id":"doi:10.1145/3460268.3460272","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460268.3460272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 2nd International Conference on Artificial Intelligence in Electronics Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061731682","display_name":"Jiaming Wu","orcid":"https://orcid.org/0000-0002-0235-4246"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaming Wu","raw_affiliation_strings":["Beijing University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005013889","display_name":"Zunhao Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zunhao Liu","raw_affiliation_strings":["Beijing University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028766722","display_name":"Bowen Yang","orcid":"https://orcid.org/0000-0002-6305-5565"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Yang","raw_affiliation_strings":["Beijing University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"20","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8131548166275024},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5901217460632324},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4837755858898163},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4758736193180084},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.46717506647109985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46632033586502075},{"id":"https://openalex.org/keywords/online-machine-learning","display_name":"Online machine learning","score":0.4482986629009247},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4388556480407715},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.3120642900466919},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08496811985969543}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8131548166275024},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5901217460632324},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4837755858898163},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4758736193180084},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.46717506647109985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46632033586502075},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.4482986629009247},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4388556480407715},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.3120642900466919},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08496811985969543},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3460268.3460272","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460268.3460272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 2nd International Conference on Artificial Intelligence in Electronics Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1488821287","https://openalex.org/W2002667482","https://openalex.org/W2009332171","https://openalex.org/W2013826439","https://openalex.org/W2130062883","https://openalex.org/W2296650031","https://openalex.org/W2951341874","https://openalex.org/W2964923275","https://openalex.org/W4301006390"],"related_works":["https://openalex.org/W4281381431","https://openalex.org/W1986633584","https://openalex.org/W2037866349","https://openalex.org/W184546935","https://openalex.org/W2901581617","https://openalex.org/W1976326851","https://openalex.org/W146740654","https://openalex.org/W4381996401","https://openalex.org/W2169476964","https://openalex.org/W2949717367"],"abstract_inverted_index":{"With":[0],"the":[1,4,43,53,59,72,95,107,118,121,128,132,135,173,185,195,212,218,225],"expansion":[2],"of":[3,62,89,98,120,130,134,153,175,188,197,207,214,228],"data":[5,30,74,108,162,182,220],"scale,":[6],"machine":[7,16,100,137,155,168,190,199],"learning":[8,17,101,138,156,169,191,200],"develops":[9],"from":[10],"centralized":[11],"to":[12,22,37,42,58,79],"distributed.":[13],"Generally,":[14],"distributed":[15,99,136,154,167,189,198],"uses":[18],"parameter":[19],"server":[20],"architecture":[21],"train":[23],"in":[24,68],"synchronous":[25],"mode.":[26],"At":[27],"this":[28,125,142],"time,":[29],"samples":[31],"are":[32],"statically":[33,80],"and":[34,50,106,193],"symmetrically":[35],"allocated":[36],"each":[38,65,111,229],"computing":[39,226],"node":[40,67,112],"according":[41],"batch":[44,82,90,151],"size.":[45],"Each":[46],"worker":[47],"trains":[48],"synchronously":[49],"iterates":[51],"until":[52],"model":[54,102,139,157],"converges.":[55],"However,":[56],"due":[57],"different":[60],"number":[61,206],"resources":[63],"at":[64],"compute":[66],"a":[69,150,161,204],"mixed-load":[70],"scenario,":[71],"traditional":[73,219],"partition":[75,163,221],"strategy":[76,164],"is":[77],"usually":[78],"configure":[81],"size":[83,91,152],"parameters":[84],"or":[85],"require":[86],"manual":[87],"setting":[88],"parameters,":[92],"which":[93],"makes":[94],"computational":[96,177,186],"efficiency":[97,178,187,227],"training":[103,140,158,201,230],"operations":[104],"inefficient,":[105],"adjustment":[109],"for":[110,149],"will":[113],"have":[114,210],"an":[115,145],"impact":[116],"on":[117,127,166],"accuracy":[119,133,196],"model.":[122,202],"To":[123],"solve":[124],"problem,":[126],"premise":[129],"ensuring":[131],"task,":[141],"paper":[143],"proposes":[144],"optimal":[146],"configuration":[147],"scheme":[148],"task":[159],"data:":[160],"based":[165],"(DQ-DPS).":[170],"DQ-DPS":[171,223],"solves":[172],"problem":[174],"low":[176],"caused":[179],"by":[180,232],"static":[181],"partitioning,":[183],"improves":[184,224],"tasks,":[192],"ensures":[194],"Through":[203],"large":[205],"experiments,":[208],"we":[209],"proved":[211],"effectiveness":[213],"DQ-DPS.":[215],"Compared":[216],"with":[217],"strategy,":[222],"round":[231],"38%.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}